update .gitattributes so git lfs will track .pkl files

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner("model.pkl")
+
+def is_cat(x):
+    return x[0].isupper()
+
+labels = learn.dls.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    names=["Dog", "Cat"]
+    return {names[labels[i]]: float(probs[i]) for i in range(len(labels))}
+
+iface = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(shape=(512, 512)),
+    outputs=gr.Label(num_top_classes=2, label="Is it a cat?"),
+    title="Is it a cat or a dog?!",
+    description="An app to classify whether it is a cat or a dog. The model is trained on the Oxford Pets dataset with fastai.",
+    examples=["download.jpg", "33669.jpg"],
+    interpretation="default",
+)
+iface.launch(enable_queue=True)

requirements.txt

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+fastapi
+scikit-image